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ai/ml engineer (gen ai/llms)

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WebDigitalSphere

Job description:We are looking for a Senior AI Engineer who is passionate about building cutting-edge AI and Machine Learning solutions. This role involves working with advanced technologies like NLP, Generative AI (GenAI), Large Language Models (LLMs), LangChain, GCP, Python, and Computer Vision to develop and deliver impactful AI-driven applications for clients across various industries.Key Responsibilities:<ul><li>Design, build, and deploy scalable AI/ML models and pipelines.</li><li>Work on NLP, GenAI, LLMs, LangChain, and Computer Vision projects.</li><li>Collaborate with data scientists, developers, and product teams to implement innovative solutions.</li><li>Optimize and fine-tune models for performance, scalability, and accuracy.</li><li>Integrate AI models into real-world applications and client systems.</li><li>Stay updated on the latest trends in AI, ML, and data science to enhance solution quality.</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, or a related field.</li><li>4&ndash;5 years of professional experience in AI/ML development.</li><li>Proficiency in Python, TensorFlow, PyTorch, or similar frameworks.</li><li>Hands-on experience with NLP, LLMs, LangChain, and GCP (Google Cloud Platform).</li><li>Strong understanding of data preprocessing, model training, and deployment.</li><li>Excellent communication, teamwork, and problem-solving skills.</li></ul>Why Join Us:<ul><li>Competitive USD-based salary.</li><li>Opportunity to work with global clients and next-generation AI technologies.</li><li>Collaborative, innovative, and growth-oriented environment.</li></ul>Job Type: Full-timeWork Location: In person

Lead AI Engineer

We are looking for a Senior AI Engineer who is passionate about building cutting-edge AI and Machine Learning solutions. This role involves working with advanced technologies like NLP, Generative AI (GenAI), Large Language Models (LLMs), LangChain, GCP, Python, and Computer Vision to develop and deliver impactful AI-driven applications for clients across various industries.Key Responsibilities:<ul><li>Design, build, and deploy scalable AI/ML models and pipelines.</li><li>Work on NLP, GenAI, LLMs, LangChain, and Computer Vision projects.</li><li>Collaborate with data scientists, developers, and product teams to implement innovative solutions.</li><li>Optimize and fine-tune models for performance, scalability, and accuracy.</li><li>Integrate AI models into real-world applications and client systems.</li><li>Stay updated on the latest trends in AI, ML, and data science to enhance solution quality.</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, or a related field.</li><li>4&ndash;5 years of professional experience in AI/ML development.</li><li>Proficiency in Python, TensorFlow, PyTorch, or similar frameworks.</li><li>Hands-on experience with NLP, LLMs, LangChain, and GCP (Google Cloud Platform).</li><li>Strong understanding of data preprocessing, model training, and deployment.</li><li>Excellent communication, teamwork, and problem-solving skills.</li></ul>Why Join Us:<ul><li>Competitive USD-based salary.</li><li>Opportunity to work with global clients and next-generation AI technologies.</li><li>Collaborative, innovative, and growth-oriented environment.</li></ul>Job Type: Full-timeWork Location: In person

Senior AI Engineer

NCRI PAKISTAN PVT. LTD.

We&rsquo;re looking to hire an experienced AI/ML Engineer to design and implement intelligent solutions that enhance our customer interaction analytics and CRM insights.Scope of Work<ul><li>Sentiment Analysis of Calls</li><li>Build and deploy models to analyze customer sentiment from call recordings or transcripts.</li><li>Deliver accurate emotion and tone detection using NLP and speech analytics.</li><li>Automated QA of Calls (Auto-QA)</li><li>Develop an AI-driven quality assurance system to evaluate agent performance across compliance, tone, empathy, and resolution metrics.</li><li>Utilize speech-to-text, NLP, and similarity-based evaluation for consistency with internal QA standards.</li><li>Optionally leverage RAG for dynamically referencing updated QA criteria or policy documents.</li><li>AI Integration with CRM (Trends &amp; Next Best Action)</li><li>Integrate AI with our CRM to uncover insights, performance trends, and customer behavior patterns.</li><li>Implement Retrieval-Augmented Generation (RAG) for context-aware recommendations and dynamic knowledge retrieval.</li><li>Use vector databases (e.g., Pinecone, Weaviate, Chroma, FAISS) to enable semantic search and similarity analysis across CRM data.</li><li>Generate &ldquo;next best action&rdquo; suggestions for customer management based on historical interactions and outcomes.</li></ul>Ideal Candidate Qualifications<ul><li>Proven experience in Machine Learning, NLP, and Speech Analytics.</li><li>Strong command of Python, LLM APIs (e.g., OpenAI, Anthropic, Hugging Face).</li><li>Experience with RAG pipelines and vector databases for retrieval and semantic search.</li><li>Background in integrating AI solutions with CRM platforms (Salesforce, HubSpot, or custom systems).</li><li>Familiarity with cloud AI services (AWS Comprehend, Google Speech, or Azure Cognitive Services) is a plus.</li></ul>Deliverables<ul><li>Working prototypes or proof-of-concept modules for each component.</li><li>Scalable architecture and documentation for model deployment.</li><li>Optional dashboards or analytics interface for insights visualization.</li></ul>Job Type: Full-timePay: Rs120,000.00 - Rs200,000.00 per monthWork Location: In person

Senior Ai / Machine Learning Engineer

Placentek

<div>
 Position: AI/ML Engineer (Gen AI/LLMs)
 
 
 Location: Islamabad, Pakistan (Onsite)
 
 
 Contract Details: Full-time
 
 
 We are seeking a highly skilled and experienced AI/ML Engineer to join our team in Islamabad, Pakistan. As an AI/ML Engineer, you will be responsible for developing and implementing cutting-edge artificial intelligence and machine learning solutions for our Gen AI/LLMs project.
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Design, develop, and implement AI/ML solutions for the Gen AI/LLMs project
 </li>
 <li>
 Collaborate with cross-functional teams to understand business needs and develop AI/ML solutions that meet those needs
 </li>
 <li>
 Conduct research and stay updated on the latest advancements in AI/ML technologies
 </li>
 <li>
 Develop and maintain data pipelines for efficient data processing and analysis
 </li>
 <li>
 Train and evaluate AI/ML models for accuracy and performance
 </li>
 <li>
 Optimize and improve existing AI/ML models for better performance
 </li>
 <li>
 Work with large datasets and perform data cleaning, preprocessing, and feature engineering
 </li>
 <li>
 Communicate complex technical concepts and solutions to non-technical stakeholders
 
 
 
 </li>
 </ul>
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Data Science, or a related field
 </li>
 <li>
 Minimum of 3 years of experience in AI/ML engineering
 </li>
 <li>
 Strong programming skills in languages such as Python, Java, or C++
 </li>
 <li>
 Experience with popular AI/ML frameworks such as TensorFlow, PyTorch, or Keras
 </li>
 <li>
 Knowledge of data structures, algorithms, and data modeling techniques
 </li>
 <li>
 Experience with cloud computing platforms such as AWS, Azure, or Google Cloud
 </li>
 <li>
 Strong understanding of statistics and probability
 </li>
 <li>
 Excellent problem-solving and analytical skills
 </li>
 <li>
 Ability to work independently and in a team environment
 </li>
 <li>
 Strong communication and collaboration skills
 </li>
 <li>
 Experience with Natural Language Processing (NLP) is a plus
 
 
 
 </li>
 </ul>
 We offer a competitive salary package and a dynamic work environment where you will have the opportunity to work on cutting-edge AI/ML projects. If you are passionate about AI/ML and want to be a part of a fast-growing team, we would love to hear from you!
</div>

AI/ML Engineer (Gen AI/LLMs)

PackageX

<div><div><div>About PackageX:</div><div>
PackageX automates data entry and manual logistics processes for receiving, inventory, and fulfilment in buildings, warehouses, and stores. It uses advanced AI scanning, flexible bolt-on apps, and APIs to drive exceptional workforce productivity, fulfilment efficiency, and real-time visibility.</div><div></div><div> 
Our vision is to build the most advanced logistics infrastructure company that orchestrates the movement of physical things and becomes the defining backbone of the digital supply chain.</div><div></div><div> 
We're a fast-growing pre-Series A stage startup in New York City with a distributed global team backed by Bullpen Capital, Pritzker Group, Sierra Ventures, Ludlow Ventures, MXV Capital, and NSV Wolf Capital.</div><div></div><div> 
About the Role:</div><div>
We are looking for a passionate and experienced Machine Learning Engineer with a strong background in Computer Vision, Natural Language Processing (NLP), and Large Language Models (LLMs) to join our growing AI team. The ideal candidate is someone who stays up to date with the rapidly evolving ML ecosystem, has hands-on experience solving real-world problems, and can take ownership of end-to-end ML solutions &mdash; from research to deployment.</div><div></div><div> 
Key Responsibilities:</div><ul><li>Design, build, and deploy machine learning models, particularly in the areas of computer vision and NLP.</li><li>Develop and fine-tune large language models (LLMs) for specialized use cases.</li><li>Translate business and product challenges into ML solutions.</li><li>Collaborate closely with product, design, and engineering teams to integrate ML models into real-world applications.</li><li>Research and implement state-of-the-art techniques while staying ahead of emerging trends in ML and AI.</li><li>Optimize ML models for deployment on mobile and edge devices (Android/iOS).</li><li>Analyze and improve model performance through rigorous testing and evaluation.</li><li>Document findings, contribute to knowledge sharing, and mentor junior engineers if needed..</li></ul><div></div><div> 
Required Skills &amp; Qualifications:</div><ul><li>5+ years of hands-on experience in machine learning.</li><li>Strong foundation in Computer Vision (e.g., image classification, object detection, OCR) and NLP (e.g., transformers, text generation, embeddings).</li><li>Experience working with Large Language Models (OpenAI, Hugging Face, LLaMA, etc.).</li><li>Solid understanding of ML frameworks such as TensorFlow, PyTorch, or JAX.</li><li>Experience deploying ML models in production environments.</li><li>Proven track record of solving real-world business or technical problems using machine learning.</li><li>Familiarity with optimizing ML models for mobile and edge devices is a strong plus.</li><li>Proficient in Python and ML tooling (e.g., NumPy, Pandas, scikit-learn, Hugging Face, OpenCV).</li><li>Strong analytical and problem-solving skills.</li></ul><div>
</div><div>
Nice to have skills:</div><ul><li>A strong plus if you have worked on deploying ML models on mobile platforms.</li><li>Experience working with machine learning models on mobile devices.</li><li>Exposure to MLOps pipelines and tools (e.g., MLflow, Weights &amp; Biases).</li><li>Contributions to open-source projects or technical blogs.</li><li>Master's or PhD in Computer Science, AI, Machine Learning, or related field.</li></ul><div></div><div> 
What can you expect from the application process?</div><div>
All applications will be looked at by the People team who will reach out to shortlisted candidates. Across various interview rounds, you'll speak with the hiring manager and other functional heads. We want to have an open discussion about your work and how we can be a great fit for each other. The process may also involve an assessment or presentation relevant to the role. You can expect an offer after three rounds of interviews. All offers are subject to satisfactory reference and background checks.</div></div> 
<div></div>
<div><div>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div></div></div>

Senior Machine Learning Engineer (Computer Vision & NLP)

convo

<div>The Sr. AI Engineer will design, architect, and implement advanced AI systems leveraging multi-agent frameworks, RAG pipelines, and LLM orchestration layers. You&rsquo;ll be responsible for building intelligent, scalable workflows that enable reasoning, contextual understanding, and autonomous task coordination across various enterprise use cases. 
Key Responsibilities<ul><li>
Architect and deploy multi-agent AI systems using frameworks like LangGraph, CrewAI, or custom orchestrators.</li><li>
Design and optimize Retrieval-Augmented Generation (RAG) pipelines for contextual reasoning and dynamic knowledge synthesis.</li><li>
Integrate vector databases and semantic search layers (e.g., Pinecone, Weaviate, FAISS) for efficient knowledge retrieval.</li><li>
Develop modular LLM pipelines combining tools, memory, and dynamic context switching.</li><li>
Implement Python-based AI microservices with robust APIs for reasoning, planning, and data processing.</li><li>
Conduct prompt engineering, evaluation, and adaptive tuning to improve model accuracy and reliability.</li><li>
Build autonomous data ingestion and learning loops to continuously improve AI system performance.</li><li>
Collaborate with cross-functional teams to align AI pipelines with product goals and business logic.</li><li>
Research and prototype new frameworks in agentic AI, self-correcting systems, and multi-modal reasoning.</li></ul>
Required Skills<ul><li>
Minimum 5+ years of experience</li><li>
Strong expertise in LLMs, NLP, RAG architectures, and multi-agent orchestration.</li><li>
Proficiency in Python, LangChain, LangGraph, and OpenAI / Hugging Face APIs.</li><li>
Experience deploying AI pipelines in production environments (microservices or distributed systems).</li><li>
Hands-on with vector DBs, semantic embeddings, and knowledge graphs.</li><li>
Solid grasp of LLM evaluation, memory management, and context-aware reasoning.</li><li>
Experience integrating AI tools with backend systems (e.g., GitHub, Azure DevOps, RESTful APIs and FASTAPIs).</li><li>
Strong understanding of system design, data pipelines, and cloud-based AI architectures.</li></ul>
Nice to Have<ul><li>
Familiarity with LangGraph, CrewAI, LlamaIndex, or Semantic Kernel.</li><li>
Experience building autonomous agents or self-improving task networks.</li><li>
Exposure to Azure OpenAI, Vertex AI, or Anthropic Claude API.</li><li>
Background in AI evaluation, reinforcement learning from human feedback (RLHF), or tool-augmented reasoning.</li><li>
Ability to mentor teams in prompt engineering, AI safety, and agentic framework design.</li></ul></div>

Convo

<div>
 The Sr. AI Engineer will design, architect, and implement
 
 advanced AI systems
 
 leveraging
 
 multi-agent frameworks
 
 ,
 
 RAG pipelines
 
 , and
 
 LLM orchestration layers
 
 . You&rsquo;ll be responsible for building intelligent, scalable workflows that enable reasoning, contextual understanding, and autonomous task coordination across various enterprise use cases.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Architect and deploy multi-agent AI systems using frameworks like LangGraph, CrewAI, or custom orchestrators.
 </li>
 <li>
 Design and optimize Retrieval-Augmented Generation (RAG) pipelines for contextual reasoning and dynamic knowledge synthesis.
 </li>
 <li>
 Integrate vector databases and semantic search layers (e.g., Pinecone, Weaviate, FAISS) for efficient knowledge retrieval.
 </li>
 <li>
 Develop modular LLM pipelines combining tools, memory, and dynamic context switching.
 </li>
 <li>
 Implement Python-based AI microservices with robust APIs for reasoning, planning, and data processing.
 </li>
 <li>
 Conduct prompt engineering, evaluation, and adaptive tuning to improve model accuracy and reliability.
 </li>
 <li>
 Build autonomous data ingestion and learning loops to continuously improve AI system performance.
 </li>
 <li>
 Collaborate with cross-functional teams to align AI pipelines with product goals and business logic.
 </li>
 <li>
 Research and prototype new frameworks in agentic AI, self-correcting systems, and multi-modal reasoning.
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 <ul>
 <li>
 Minimum 5+ years of experience
 </li>
 <li>
 Strong expertise in LLMs, NLP, RAG architectures, and multi-agent orchestration.
 </li>
 <li>
 Proficiency in Python, LangChain, LangGraph, and OpenAI / Hugging Face APIs.
 </li>
 <li>
 Experience deploying AI pipelines in production environments (microservices or distributed systems).
 </li>
 <li>
 Hands-on with vector DBs, semantic embeddings, and knowledge graphs.
 </li>
 <li>
 Solid grasp of LLM evaluation, memory management, and context-aware reasoning.
 </li>
 <li>
 Experience integrating AI tools with backend systems (e.g., GitHub, Azure DevOps, RESTful APIs and FASTAPIs).
 </li>
 <li>
 Strong understanding of system design, data pipelines, and cloud-based AI architectures.
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Familiarity with LangGraph, CrewAI, LlamaIndex, or Semantic Kernel.
 </li>
 <li>
 Experience building autonomous agents or self-improving task networks.
 </li>
 <li>
 Exposure to Azure OpenAI, Vertex AI, or Anthropic Claude API.
 </li>
 <li>
 Background in AI evaluation, reinforcement learning from human feedback (RLHF), or tool-augmented reasoning.
 </li>
 <li>
 Ability to mentor teams in prompt engineering, AI safety, and agentic framework design.
 </li>
 </ul>
</div>

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108 nlp engineer jobs IN Islamabad

Lead AI Engineer

Senior AI Engineer

Senior Ai / Machine Learning Engineer

AI/ML Engineer (Gen AI/LLMs)

Senior Machine Learning Engineer (Computer Vision & NLP)

Senior AI Engineer

Senior AI Engineer